Bayesian Longitudinal Analysis Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
approximate bayesian methods
efficient bayesian computation
machine learning
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Sharmistha Guha
Texas A&M University United States of America
bayesian high dimensional regression
bayesian causal inference
bayesian object-oriented regression
bayesian nonparametric mixture models
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Paul Arora
University of Toronto Canada
longitudinal analysis
bayesian networks
bayesian statistics
machine learning
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Yanan Fan
University of New South Wales Australia
bayesian inference
bayesian computation
bayesian nonparametrics
approximate bayesian computation
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
large scale machine learning
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Olga Vitek
Purdue University United States of America
bayesian analysis
machine learning
data analysis
statistical inference
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Hina Shaheen
University of Manitoba Canada
bayesian inference
machine learning
statistical machine learning
data analysis
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Peter Mueller
University of Texas at Austin United States of America
bayesian bioinformatics
nonparametric bayesian inference
bayesian adaptive clinical trial design
computational methods in bayesian inference
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Bojana Rosic
University of Twente Netherlands
machine learning
multiscale analysis
data analysis
statistical inference
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Edson Utazi
University of Southampton United Kingdom
bayesian inference
bayesian computation
machine learning
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Haixu Wang
University of Calgary Canada
bayesian analysis
longitudinal data
machine learning
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Alexander Hartemink
Duke University Singapore
bayesian networks
bayesian statistics
machine learning
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Joel Dubin
University of Waterloo Canada
longitudinal data analysis
multivariate longitudinal data
predictive modeling
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Mayank Chadha
University of California, San Diego United States of America
bayesian optimization
bayesian decision theory
machine learning
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David Matteson
Cornell University Netherlands
bayesian analysis
machine learning
spatial analysis
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Bei Jiang
University of Alberta Canada
bayesian hierarchical modeling
bayesian support vector machine
longitudinal health outcome data
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François Caron
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
statistical machine learning
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Dan Kowal
Cornell Bowers University United States of America
bayesian analysis
machine learning
spatial analysis
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